Tuzel, Oncel

60 publications

CVPR 2025 FastVLM: Efficient Vision Encoding for Vision Language Models Pavan Kumar Anasosalu Vasu, Fartash Faghri, Chun-Liang Li, Cem Koc, Nate true, Albert Antony, Gokula Santhanam, James Gabriel, Peter Grasch, Oncel Tuzel, Hadi Pouransari

ICLRW 2025 FocalLens: Instruction Tuning Enables Zero-Shot Conditional Image Representations Cheng-Yu Hsieh, Pavan Kumar Anasosalu Vasu, Fartash Faghri, Raviteja Vemulapalli, Chun-Liang Li, Ranjay Krishna, Oncel Tuzel, Hadi Pouransari

ICLR 2025 GSM-Symbolic: Understanding the Limitations of Mathematical Reasoning in Large Language Models Seyed Iman Mirzadeh, Keivan Alizadeh, Hooman Shahrokhi, Oncel Tuzel, Samy Bengio, Mehrdad Farajtabar

TMLR 2025 MobileCLIP2: Improving Multi-Modal Reinforced Training Fartash Faghri, Pavan Kumar Anasosalu Vasu, Cem Koc, Vaishaal Shankar, Alexander T Toshev, Oncel Tuzel, Hadi Pouransari

ICML 2025 Proxy-FDA: Proxy-Based Feature Distribution Alignment for Fine-Tuning Vision Foundation Models Without Forgetting Chen Huang, Skyler Seto, Hadi Pouransari, Mehrdad Farajtabar, Raviteja Vemulapalli, Fartash Faghri, Oncel Tuzel, Barry-John Theobald, Joshua M. Susskind

TMLR 2024 CLIP Meets Model Zoo Experts: Pseudo-Supervision for Visual Enhancement Mohammadreza Salehi, Mehrdad Farajtabar, Maxwell Horton, Fartash Faghri, Hadi Pouransari, Raviteja Vemulapalli, Oncel Tuzel, Ali Farhadi, Mohammad Rastegari, Sachin Mehta

NeurIPS 2024 Dataset Decomposition: Faster LLM Training with Variable Sequence Length Curriculum Hadi Pouransari, Chun-Liang Li, Jen-Hao Rick Chang, Pavan Kumar Anasosalu Vasu, Cem Koc, Vaishaal Shankar, Oncel Tuzel

CVPR 2024 HUGS: Human Gaussian Splats Muhammed Kocabas, Jen-Hao Rick Chang, James Gabriel, Oncel Tuzel, Anurag Ranjan

ICML 2024 Knowledge Transfer from Vision Foundation Models for Efficient Training of Small Task-Specific Models Raviteja Vemulapalli, Hadi Pouransari, Fartash Faghri, Sachin Mehta, Mehrdad Farajtabar, Mohammad Rastegari, Oncel Tuzel

CVPR 2024 MobileCLIP: Fast Image-Text Models Through Multi-Modal Reinforced Training Pavan Kumar Anasosalu Vasu, Hadi Pouransari, Fartash Faghri, Raviteja Vemulapalli, Oncel Tuzel

CVPR 2024 Probabilistic Speech-Driven 3D Facial Motion Synthesis: New Benchmarks Methods and Applications Karren D. Yang, Anurag Ranjan, Jen-Hao Rick Chang, Raviteja Vemulapalli, Oncel Tuzel

ICLR 2024 ReLU Strikes Back: Exploiting Activation Sparsity in Large Language Models Seyed Iman Mirzadeh, Keivan Alizadeh-Vahid, Sachin Mehta, Carlo C del Mundo, Oncel Tuzel, Golnoosh Samei, Mohammad Rastegari, Mehrdad Farajtabar

CVPRW 2024 SAM-CLIP: Merging Vision Foundation Models Towards Semantic and Spatial Understanding Haoxiang Wang, Pavan Kumar Anasosalu Vasu, Fartash Faghri, Raviteja Vemulapalli, Mehrdad Farajtabar, Sachin Mehta, Mohammad Rastegari, Oncel Tuzel, Hadi Pouransari

ICLR 2024 TiC-CLIP: Continual Training of CLIP Models Saurabh Garg, Mehrdad Farajtabar, Hadi Pouransari, Raviteja Vemulapalli, Sachin Mehta, Oncel Tuzel, Vaishaal Shankar, Fartash Faghri

NeurIPSW 2024 TiC-LM: A Multi-Year Benchmark for Continual Pretraining of Language Models Jeffrey Li, Mohammadreza Armandpour, Seyed Iman Mirzadeh, Sachin Mehta, Vaishaal Shankar, Raviteja Vemulapalli, Oncel Tuzel, Mehrdad Farajtabar, Hadi Pouransari, Fartash Faghri

NeurIPSW 2023 CLIP Meets Model Zoo Experts: Pseudo-Supervision for Visual Enhancement Mohammadreza Salehi, Mehrdad Farajtabar, Maxwell Horton, Fartash Faghri, Hadi Pouransari, Raviteja Vemulapalli, Oncel Tuzel, Ali Farhadi, Mohammad Rastegari, Sachin Mehta

CVPR 2023 FaceLit: Neural 3D Relightable Faces Anurag Ranjan, Kwang Moo Yi, Jen-Hao Rick Chang, Oncel Tuzel

ICLR 2023 FastFill: Efficient Compatible Model Update Florian Jaeckle, Fartash Faghri, Ali Farhadi, Oncel Tuzel, Hadi Pouransari

ICCV 2023 FastViT: A Fast Hybrid Vision Transformer Using Structural Reparameterization Pavan Kumar Anasosalu Vasu, James Gabriel, Jeff Zhu, Oncel Tuzel, Anurag Ranjan

CVPR 2023 MobileOne: An Improved One Millisecond Mobile Backbone Pavan Kumar Anasosalu Vasu, James Gabriel, Jeff Zhu, Oncel Tuzel, Anurag Ranjan

CVPR 2023 Pointersect: Neural Rendering with Cloud-Ray Intersection Jen-Hao Rick Chang, Wei-Yu Chen, Anurag Ranjan, Kwang Moo Yi, Oncel Tuzel

ICCV 2023 Reinforce Data, Multiply Impact: Improved Model Accuracy and Robustness with Dataset Reinforcement Fartash Faghri, Hadi Pouransari, Sachin Mehta, Mehrdad Farajtabar, Ali Farhadi, Mohammad Rastegari, Oncel Tuzel

NeurIPSW 2023 SAM-CLIP: Merging Vision Foundation Models Towards Semantic and Spatial Understanding Haoxiang Wang, Pavan Kumar Anasosalu Vasu, Fartash Faghri, Raviteja Vemulapalli, Mehrdad Farajtabar, Sachin Mehta, Mohammad Rastegari, Oncel Tuzel, Hadi Pouransari

NeurIPSW 2023 TiC-CLIP: Continual Training of CLIP Models Saurabh Garg, Mehrdad Farajtabar, Hadi Pouransari, Raviteja Vemulapalli, Sachin Mehta, Oncel Tuzel, Vaishaal Shankar, Fartash Faghri

WACV 2023 Token Pooling in Vision Transformers for Image Classification Dmitrii Marin, Jen-Hao Rick Chang, Anurag Ranjan, Anish Prabhu, Mohammad Rastegari, Oncel Tuzel

NeurIPSW 2022 APE: Aligning Pretrained Encoders to Quickly Learn Aligned Multimodal Representations Elan Rosenfeld, Preetum Nakkiran, Hadi Pouransari, Oncel Tuzel, Fartash Faghri

CVPR 2022 Forward Compatible Training for Large-Scale Embedding Retrieval Systems Vivek Ramanujan, Pavan Kumar Anasosalu Vasu, Ali Farhadi, Oncel Tuzel, Hadi Pouransari

ECCV 2022 NeuMan: Neural Human Radiance Field from a Single Video Wei Jiang, Kwang Moo Yi, Golnoosh Samei, Oncel Tuzel, Anurag Ranjan

ICML 2022 Style Equalization: Unsupervised Learning of Controllable Generative Sequence Models Jen-Hao Rick Chang, Ashish Shrivastava, Hema Koppula, Xiaoshuai Zhang, Oncel Tuzel

CVPRW 2021 Extracurricular Learning: Knowledge Transfer Beyond Empirical Distribution Hadi Pouransari, Mojan Javaheripi, Vinay Sharma, Oncel Tuzel

CVPRW 2020 Least Squares Binary Quantization of Neural Networks Hadi Pouransari, Zhucheng Tu, Oncel Tuzel

NeurIPS 2019 Data Parameters: A New Family of Parameters for Learning a Differentiable Curriculum Shreyas Saxena, Oncel Tuzel, Dennis DeCoste

CVPRW 2019 Learning Conditional Error Model for Simulated Time-Series Data Ashish Shrivastava, Oncel Tuzel

CVPR 2017 Learning from Simulated and Unsupervised Images Through Adversarial Training Ashish Shrivastava, Tomas Pfister, Oncel Tuzel, Joshua Susskind, Wenda Wang, Russell Webb

CVPR 2016 A Multi-Stream Bi-Directional Recurrent Neural Network for Fine-Grained Action Detection Bharat Singh, Tim K. Marks, Michael Jones, Oncel Tuzel, Ming Shao

NeurIPS 2016 Coupled Generative Adversarial Networks Ming-Yu Liu, Oncel Tuzel

CVPR 2016 Deep Gaussian Conditional Random Field Network: A Model-Based Deep Network for Discriminative Denoising Raviteja Vemulapalli, Oncel Tuzel, Ming-Yu Liu

CVPR 2016 Gaussian Conditional Random Field Network for Semantic Segmentation Raviteja Vemulapalli, Oncel Tuzel, Ming-Yu Liu, Rama Chellapa

ECCV 2016 Robust Face Alignment Using a Mixture of Invariant Experts Oncel Tuzel, Tim K. Marks, Salil Tambe

WACV 2016 Unsupervised Network Pretraining via Encoding Human Design Ming-Yu Liu, Arun Mallya, Oncel Tuzel, Xi Chen

CVPR 2015 Deep Hierarchical Parsing for Semantic Segmentation Abhishek Sharma, Oncel Tuzel, David W. Jacobs

WACV 2014 Detecting 3D Geometric Boundaries of Indoor Scenes Under Varying Lighting Jie Ni, Tim K. Marks, Oncel Tuzel, Fatih Porikli

ECCV 2014 Learning to Rank 3D Features Oncel Tuzel, Ming-Yu Liu, Yuichi Taguchi, Arvind Raghunathan

NeurIPS 2014 Recursive Context Propagation Network for Semantic Scene Labeling Abhishek Sharma, Oncel Tuzel, Ming-Yu Liu

CVPR 2013 Joint Geodesic Upsampling of Depth Images Ming-Yu Liu, Oncel Tuzel, Yuichi Taguchi

ECCV 2012 Motion-Aware Structured Light Using Spatio-Temporal Decodable Patterns Yuichi Taguchi, Amit K. Agrawal, Oncel Tuzel

UAI 2011 Compressed Inference for Probabilistic Sequential Models Gungor Polatkan, Oncel Tuzel

CVPR 2011 Entropy Rate Superpixel Segmentation Ming-Yu Liu, Oncel Tuzel, Srikumar Ramalingam, Rama Chellappa

CVPR 2010 Fast Directional Chamfer Matching Ming-Yu Liu, Oncel Tuzel, Ashok Veeraraghavan, Rama Chellappa

ECCV 2010 Image Invariants for Smooth Reflective Surfaces Aswin C. Sankaranarayanan, Ashok Veeraraghavan, Oncel Tuzel, Amit K. Agrawal

ECCV 2010 P2Pi: A Minimal Solution for Registration of 3D Points to 3D Planes Srikumar Ramalingam, Yuichi Taguchi, Tim K. Marks, Oncel Tuzel

CVPR 2010 Specular Surface Reconstruction from Sparse Reflection Correspondences Aswin C. Sankaranarayanan, Ashok Veeraraghavan, Oncel Tuzel, Amit K. Agrawal

ICCV 2009 Kernel Methods for Weakly Supervised Mean Shift Clustering Oncel Tuzel, Fatih Porikli, Peter Meer

CVPR 2008 Learning on Lie Groups for Invariant Detection and Tracking Oncel Tuzel, Fatih Murat Porikli, Peter Meer

CVPR 2007 Human Detection via Classification on Riemannian Manifolds Oncel Tuzel, Fatih Porikli, Peter Meer

CVPR 2006 Covariance Tracking Using Model Update Based on Lie Algebra Fatih Porikli, Oncel Tuzel, Peter Meer

ECCV 2006 Region Covariance: A Fast Descriptor for Detection and Classification Oncel Tuzel, Fatih Porikli, Peter Meer

CVPR 2005 A Bayesian Approach to Background Modeling Oncel Tuzel, Fatih Murat Porikli, Peter Meer

CVPRW 2005 A Bayesian Approach to Background Modeling Oncel Tuzel, Fatih Murat Porikli, Peter Meer

ICCV 2005 Simultaneous Multiple 3D Motion Estimation via Mode Finding on Lie Groups Oncel Tuzel, Raghav Subbarao, Peter Meer